Inferring recommendation interactions in clinical guidelines

Semantic Web

Volumn 7, Issue 4, 2016, Pages 421-446

  Zamborlini, Veruska ^a,b   Hoekstra, Rinke ^a,c   Da Silveira, Marcos ^b   Pruski, Cedric ^b   Ten Teije, Annette ^a   Van Harmelen, Frank ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Clinical knowledge representation; combining medical guidelines; multimorbidity; OWL; reasoning; rules; SPARQL; SWRL

Indexed keywords

EID: 84971500460     PISSN: 15700844     EISSN: 22104968     Source Type: Journal    
DOI: 10.3233/SW-150212     Document Type: Conference Paper

References (40)

1. http://download.bio2rdf.org/release/3/release.html, Accessed October 2014.
2. http://www.drugbank.ca, Accessed October 2014.
3. https://datahub.io/dataset/fu-berlin-diseasome, Accessed October 2014.
4. http://linkedct.org, Accessed October 2014.
5. http://sideeffects.embl.de, Accessed October 2014.
6. http://bioportal.bioontology.org, Accessed October 2014.
7. http://clinicaltrials.gov, Accessed October 2014.
8. https://github.com/bio2rdf/bio2rdf-scripts/wiki, Accessed October 2014.
9. https://uts.nlm.nih.gov, Accessed October 2014.
10. S. Abidi, J. Cox, S.S.R. Abidi and M. Shepherd, Using OWL ontologies for clinical guidelines based comorbid decision support, in: International Conference on System Science (HICSS), EUA, 2012, pp. 3030-3038.
11. A.A. Boxwala, M. Peleg, S.W. Tu, O. Ogunyemi, Q.T. Zeng, D.Wang, V.L. Patel, R.A. Greenes and E.H. Shortliffe, GLIF3: A representation format for sharable computer-interpretable clinical practice guidelines, Journal of Biomedical Informatics 37(3) (2004), 147-161.
12. A. Grace, C. Mahony, J. O'Donoghue, T. Heffernan, D. Molony and T. Carroll, A vision for enhancing multimorbid care using clinical decision support systems, Studies Health Technology and Informatics 192 (2011), 1117.
13. J. Grosjean, T. Merabti, N. Griffon, B. Dahamna and S. Darmoni, Multilingual multiterminology model to create the European health terminology/ontology portal, in: Proc. of the 9th International Conference on Terminology and Artificial Intelligence, France, 2011, pp. 119-122.
14. R. Hoekstra, Ontology representation-design patterns and ontologies that make sense, Frontiers of Artificial Intelligence and Applications 197 (2009), 1-236.
15. R. Hoekstra and J. Breuker, Polishing diamonds in OWL2, in: Knowledge Engineering and Knowledge Acquisition (EKAW), Italy, LNCS, Vol. 5268, 2008, pp. 64-73.
16. R. Hoekstra, A. de Waard and R. Vdovjak, Annotating evidence based clinical guidelines-A lightweight ontology, in: Workshop on Semantic Web Applications and Tools for Life Sciences, France, 2012.
17. I. Horrocks, O. Kutz and U. Sattler, The even more irresistible SROIQ, in: Principles of Knowledge Representation and Reasoning (KR), UK, 2006, pp. 57-67.
18. D. Isern and A. Moreno, Computer-based execution of clinical guidelines: A review, International Journal of Medical Informatics 77(12) (2008), 787-808.
19. D. Isern, D. Sanchez and A. Moreno, Ontology-driven execution of clinical guidelines, Computer Methods and Programs in Biomedicine 107(2) (2012), 122-139.
20. B. Jafarpour, Ontology merging using semantically-defined merge criteria and OWL reasoning services: Towards execution-Time merging of multiple clinical workflows to handle comorbidity, Ph.D. Thesis, Dalhousie University, 2013.
21. A. Jentzsch, B. Andersson, O. Hassanzadeh, S. Stephens and C. Bizer, Enabling tailored therapeutics with linked data, in: Workshop on Linked Data on the Web (LDOW), Spain, 2009.
22. S. Jupp, J. Malone, J. Bolleman, M. Brandizi, M. Davies, L. Garcia, A. Gaulton, S. Gehant, C. Laibe, N. Redaschi, S.M. Wimalaratne, M. Martin, N. Le Novere, H. Parkinson, E. Birney and A.M. Jenkinson, The EBI RDF platform: Linked open data for the life sciences, Bioinformatics 30(9) (2014), 1338-1339.
23. J.A. López-Vallverdú, D. Riaño and A. Collado, Rule-based combination of comorbid treatments for chronic diseases applied to hypertension, diabetes mellitus and heart failure, in: Process Support and Knowledge Representation in Healthcare, Estonia, LNAI, Vol. 7738, 2012, pp. 30-41.
24. S. Miksch, Y. Shahar and P. Johnson, Asbru: A task-specific, intention-based, and time-oriented language for representing skeletal plans, in:Workshop on Knowledge Engineering: Methods & Languages, UK, 1997, pp. 1-25.
25. M. Peleg, Computer-interpretable clinical guidelines: A methodological review, Journal of Biomedical Informatics 46(4) (2013), 744-763.
26. M. Peleg, S. Tu, G. Leonardi, S. Quaglini, P. Russo, G. Palladini and G. Merlini, Reasoning with effects of clinical guideline actions using OWL: AL amyloidosis as a case study, in: Knowledge Representation for Health-Care (KR4HC), Estonia, LNCS, Vol. 6924, 2012, pp. 65-79.
27. H. Perez-Urbina, B. Motik and I. Horrocks, Tractable query answering and rewriting under description logic constraints, Journal of Applied Logic 8(2) (2010), 186-209.
28. H. Perez-Urbina, E. Rodriguez-Diaz, M. Grove, G. Konstantinidis and E. Sirin, Evaluation of query rewriting approaches for owl 2, in: Joint Workshop on Scalable and High-Performance Semantic Web Systems, CEUR-WS, Vol. 943, 2012, pp. 32-44.
29. C. Pruski, R. Bonacin and M. Da Silveira, Towards the formalization of guidelines care actions using patterns and semantic web technologies, in: Artificial Intelligence in Medicine, Slovenia, 2011, pp. 302-306.
30. A. Ruttenberg, T. Clark, W. Bug, M. Samwald, O. Bodenreider, H. Chen, D. Doherty, K. Forsberg, Y. Gao, V. Kashyap, J. Kinoshita, J. Luciano, M.S. Marshall, C. Ogbuji, J. Rees, S. Stephens, G.T. Wong, E. Wu, D. Zaccagnini, T. Hongsermeier, E. Neumann, I. Herman and K.H. Cheung, Advancing translational research with the Semantic Web, BMC Bioinformatics 8(3) (2007
31. D. Sittig, A.Wright, J. Osheroff, B. Middleton, J. Teich, J. Ash, E. Campbell and D. Bates, Grand challenges in clinical decision support, Journal of Biomedical Informatics 41(2) (2008), 387-392.
32. D.R. Sutton and J. Fox, The syntax and semantics of the PROforma guideline modeling language, Journal of the American Medical Informatics Association 10 (2003), 433-443.
33. A.A. Uijen and E.H. van de Lisdonk, Multimorbidity in primary care: Prevalence and trend over the last 20 years, European Journal of General Practice 14(1) (2008), 28-31.
34. S. Wilk, M. Michalowski, W. Michalowski, M.M. Hing and K. Farion, Reconciling pairs of concurrently used clinical practice guidelines using constraint logic programming, in: AMIA Annual Symposium Proceedings, EUA, 2011, p. 944.
35. S. Wilk, M. Michalowski, W. Michalowski, K. Farion, M.M. Hing and S. Mohapatra, Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming, Journal of Biomedical Informatics 46(2) (2013), 341-353.
36. D.S. Wishart, C. Knox, A.C. Guo, S. Shrivastava, M. Hassanali, P. Stothard, Z. Chang and J. Woolsey, DrugBank: A comprehensive resource for in silico drug discovery and exploration, Nucleic Acids Research 1(34) (2006), 668-672.
37. W. Yao and A. Kumar, CONFlexFlow: Integrating flexible clinical pathways into clinical decision support systems using context and rules, Decision Support Systems 55(2) (2013), 499-515.
38. V. Zamborlini, M. Da Silveira, C. Pruski, A. Ten Teije and F. van Harmelen, Towards a conceptual model for enhancing reasoning about clinical guidelines: A case-study on comorbidity, in: Knowledge Representation for Health-Care (KR4HC), Austria, LNCS, Vol. 8903, 2014, pp. 29-44.
39. V. Zamborlini, M. Da Silveira, C. Pruski, A. Ten Teije and F. van Harmelen, Analyzing recommendations interactions in clinical guidelines: Impact of action type hierarchies and causation beliefs, in: Artificial Intelligence in Medicine (AIME), Italy, LNCS, Vol. 9105, 2015, pp. 317-326.
40. V. Zamborlini, R. Hoekstra, M. Da Silveira, C. Pruski, A. Ten Teije and F. van Harmelen, A conceptual model for detecting interactions among medical recommendations in clinical guidelines, in: Knowledge Engineering and Knowledge Management (EKAW), Sweden, 2014, pp. 591-606.